We demonstrate the potential of our algorithm on the ShapeNet [1]} data set on various types of shape classes in terms of how it captures the details of the 3D model by comparing with state-of-the-art methods. Additionally, we access our method on different models downloaded from the Internet to show the generalization capability of the method.
